Design Search Autocomplete System - System Design Interview

Learn how to design a scalable Search Autocomplete System (also known as Typeahead or Suggestion System) for a System Design Interview. 🚀

In this video, we break down the architecture step-by-step, from high-level requirements to deep-dive data structure optimizations using Tries.

Key topics covered:
🔹 Functional & Non-Functional Requirements
🔹 Trie Data Structure (Prefix Tree)
🔹 Optimizing for Low Latency (Top K Storage)
🔹 Data Gathering vs. Query Service
🔹 Caching Strategies (Redis)
🔹 Sharding and Scaling

Whether you are preparing for a coding interview at Google, Facebook, or Amazon, or just want to understand how search engines work, this guide is for you!

#systemdesign #codinginterview #softwareengineering #autocomplete #programming

Chapters:
00:00 - Introduction
00:15 - What is Search Autocomplete?
00:34 - Requirements & Constraints
00:56 - High-Level Architecture
01:17 - Data Structure: The Trie
01:36 - Optimizing the Trie
01:57 - Data Collection Service
02:18 - Query Service
02:36 - Ranking Factors
02:54 - Scaling: Database Sharding
03:14 - Client-Side Optimizations
03:33 - System Design Summary
03:51 - Outro

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